Skale Review 2026: B2B SaaS SEO Results from a GEO Practitioner’s Lens

A practitioner review of Skale’s SEO track record, GEO methodology, and the measurement questions every B2B SaaS buyer should ask before signing in 2026.

Quick Answer: Skale is a London-based B2B SaaS SEO agency founded in 2019 with a genuine track record of connecting organic search to MRR and pipeline for growth-stage SaaS companies. Their GEO offering exists and is more developed than most traditional agencies. The measurement layer (AI Visibility Score tracking, AI-attributed revenue reporting) is not yet publicly documented for any Skale client. For teams where Google organic is the primary channel, Skale is a serious candidate. For teams where AI-sourced pipeline is a tracked primary KPI, the due diligence questions in this review are the right ones to bring to their discovery call.

Every Skale review written in 2026 reaches the same conclusion: strong SEO agency, GEO is “developing.”

Not a single one explains what “developing” actually means for your pipeline, or how you would know if it ever finished developing. That is the gap this review fills.

What most of these reviews miss is the measurement problem. GEO is not a service you buy. It is an outcome you track. An agency that offers GEO but cannot show you a citation frequency trend over 90 days is not doing GEO.

They are doing SEO and labeling it GEO. The difference between those two things is where your pipeline leaks.

This review evaluates Skale across three specific dimensions: their traditional SEO track record (where the evidence is strong), their GEO methodology maturity (where the evidence is thinner than their positioning suggests), and the evaluation framework you should apply before signing any agency in this category.

By the end, you will have enough to make a clean hiring decision on Skale, along with a sharper set of questions for any other agency you evaluate alongside them.

What Skale Actually Offers in 2026 (and What the Case Studies Show)

Skale’s service model has not dramatically changed in seven years, which is a good thing. Agencies that reinvent their methodology every 18 months are usually chasing trends, not delivering results.

The four core deliverables are SEO strategy and roadmapping, content production, link building, and technical SEO.

In 2026, they added a GEO layer on top of those four, which I will get to. The base, though, is a full-service organic growth engagement priced on custom quotes.

Third-party review data from Clutch puts the minimum engagement around $5,000 per month with hourly rates between $100 and $149, and independent roundups in 2026 consistently place their full-service retainer in the $8,000 to $20,000 range.

Skale’s SEO Track Record: Where the Proof Holds Up

Skale co-founders Jake Stainer and Italo Viale built SEO in-house at SaaS companies including Typeform and TravelPerk before founding the agency.

That operator background matters because it means their revenue attribution model is not borrowed from agency playbooks. They knew what CRM-connected reporting looked like before they tried to sell it.

The case study numbers worth knowing: Rezi grew revenue 176% over the engagement period; Holded saw monthly signups increase 450%. Clients across the portfolio include Maze, Databox, Piktochart, Slite, HubSpot, and TravelPerk.

These are not anonymized results. Named companies, verifiable outcomes.

The attribution model is worth understanding specifically. Skale integrates with HubSpot and Salesforce to track organic pipeline growth rather than just ranking movement.

Most SEO agencies report keyword positions and session counts. Skale reports SQLs and MRR contributions. That reporting difference is why their Clutch rating sits at 4.9 across 16 verified reviews, with one repeated note in those reviews: “Slightly more clarity on long-term milestone timelines would help clients set expectations earlier in the engagement.”

The GEO Layer: What Actually Gets Added to the Retainer

As of June 2026, Skale’s GEO work operates on three tracks.

1. Entity building means publishing and distributing brand signals across structured sources: <script type="application/ld+json"> schema markup, consistent brand mentions across authoritative third-party properties, and entity disambiguation so AI systems clearly understand what Skale’s clients actually do and who they serve.
2. Structured content for AI retrieval means reformatting existing high-performing pages to answer questions the way AI models want them answered: short definitional openings, Q&A structure near the top, FAQ schema, clear heading hierarchy. This is the same work that wins Featured Snippets, but the distribution target is different.
3. Third-party citation outreach means pitching clients to appear on the roundups, directories, and community threads that LLMs weigh heavily when they answer category questions. As of June 2026, AI tools including ChatGPT, Perplexity, and Google AI Mode draw significantly from G2, Reddit, Capterra, and high-authority listicles, not from branded blog posts alone.

DerivateX runs GEO programs for B2B SaaS companies including Gumlet and REsimpli, so we see this methodology pattern regularly across roughly 50 client and prospect audits per quarter.

The framework Skale is building mirrors what the strongest GEO practices are doing. The gap is not in the tactic list. It sits in the measurement infrastructure, which the next section gets into.

What GEO Maturity Actually Means (And Why Most Agencies Don’t Have It)

GEO maturity is not about whether an agency offers GEO services. It is about whether their delivery model produces three things consistently: tracked citation frequency across AI platforms, attributed pipeline from AI-sourced sessions, and a repeatable methodology for moving both numbers.

A GEO-mature agency can answer yes to all three. A GEO-positioned agency can describe their approach but cannot yet show you the measurement layer in action for a named client.

The distinction matters because in 2026, the barrier to describing a GEO methodology is essentially zero. The barrier to showing a client’s AI Visibility Score moving from 12 to 68 over 14 weeks is not.

Call it GEO, AEO, LLM SEO, or AI SEO. The label does not matter. What matters is whether the agency can show the citation frequency moving.

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Skale’s GEO Capability Looks Strong on Paper. Here is What the Evidence Actually Shows.

Skale’s website, case study library, and third-party reviews paint a consistent picture: a credible agency that has added GEO to a mature SEO operation.

The gap shows up when you move from what they describe to what they have published.

As of June 2026, Skale’s public case study library contains no AI-specific outcome data. Every documented result, Rezi’s 176% revenue growth, Holded’s 450% signup increase, and the portfolio entries for Maze, Databox, and TravelPerk, is tied to organic search performance on Google: rankings, traffic, pipeline from organic sessions.

None of them show a citation frequency trend, an AI Visibility Score movement, or a figure for AI-attributed revenue.

That is not an accusation. Many agencies in this category are in the same position. But it is the right observation for a buyer evaluating GEO capability, because published results are the only independent signal you have before the first discovery call.

The positioning, by contrast, is forward-leaning. Skale’s service pages describe GEO as an active component of their retainers: entity optimization, structured content for AI retrieval, brand mention campaigns targeting the sources LLMs weigh most.

The messaging is well-constructed and specific enough that it is clearly not a generic add-on. But positioning and published proof are different things, and in 2026 the gap between them is especially easy to manufacture. Any agency can describe a GEO methodology. The verification question is: can they show you it working?

This is not a problem Skale has invented. No shared standard currently exists for what constitutes a mature GEO practice, which means buyers across the market are making hiring decisions based on methodology descriptions rather than outcome evidence.

That ambiguity benefits agencies with strong SEO positioning, because their existing Google results read as proof of capability even when the specific question is about AI search.

For a buyer evaluating Skale on GEO, the productive move is to treat their SEO track record as evidence of execution quality, not as evidence of AI citation capability specifically.

The practical test for any agency claiming GEO capability is whether they can show you a client’s AI Visibility Score trend over time, not just screenshots of AI mentions. Without that measurement layer, GEO is a service description, not a tracked outcome.

Skale is not an isolated case here. Across the 2026 GEO agency landscape, Forrester’s January 2026 B2B Buying report found that generative AI tools ranked as the single most cited meaningful interaction type for researching B2B purchases.

G2’s Answer Economy 2026 research found that 51% of B2B software buyers now start research in an AI chatbot more often than Google, up from 29% in April 2025.

If your agency cannot show you what that shift looks like for your specific brand, across specific prompts, they cannot tell you if the work is moving your pipeline.

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The Test That Tells You More Than Any Skale Review: Can They Show You a Citation Trend?

The answer is specific: ask for an AI Visibility Score trend for a current client, tracked weekly over the last 60 to 90 days.

AI Visibility Score (AVS) is a 0-to-100 weekly index of how often and how prominently a brand appears across AI tools for a defined set of buyer prompts. DerivateX built it as a standardized measurement framework because citation frequency is what actually moves, and tracking it weekly is what separates genuine GEO work from activity that produces no verifiable output. 

The methodology: define 20 high-intent target prompts that your buyers actually ask AI tools, run each prompt three times per week across ChatGPT, Perplexity, Claude, and Gemini, and score each result, 5 points if the brand is named, 3 if linked, 1 if mentioned in context, then normalize to a weekly index. Track the trend.

The reason this test matters for evaluating Skale specifically is that a mature GEO practice should produce improving AVS numbers over the course of an engagement.

If an agency cannot show you that trend for a current client, one of three things is true: they are not tracking it, they are tracking it but the numbers are not moving, or they are tracking it but prefer not to show it. None of those outcomes is reassuring.

Before signing any B2B SaaS SEO agency in 2026, ask to see a client’s citation frequency trend across ChatGPT and Perplexity over the previous 90 days. Do not accept a screenshot of a single AI mention. Trend data, not snapshots.

What Tracked GEO Outcomes Actually Look Like

To make the distinction concrete, it helps to see what Citation Engineering produces when applied as a primary methodology rather than a retainer add-on.

Citation Engineering is the practice of deliberately structuring content, entity data, and brand signals so that LLMs reliably cite a brand when users ask questions relevant to their product or service. It is not a rebrand of content marketing. The goal is different.

Google rewards topical coverage. LLMs reward trusted sources. The overlap between those two objectives is smaller than most agencies admit.

When DerivateX applied Citation Engineering to REsimpli’s content and entity architecture, the outcome was measurable within 90 days: REsimpli reached the top ChatGPT recommendation for high-intent real estate CRM prompts, including “best CRM for real estate investors” and closely related queries.

That is AVS moving from near-zero to a tracked weekly score above 70 within a single quarter.

Gumlet, another DerivateX client, now attributes 20% of its direct monthly inbound revenue to ChatGPT, Claude, and Perplexity. That is not an estimated number, but it comes directly from their attribution dashboard, verified by Divyesh Patel, Gumlet’s co-founder.

Verito moved from position 40 on Google to the top ChatGPT recommendation for “QuickBooks hosting” and “UltraTax hosting,” both high-intent buyer prompts where appearing in AI answers converts at a fundamentally different rate than a Google ranking.

As per Opollo’s 2026 AI Search Benchmark report, AI-sourced visitors convert to demos at 14.2%, compared to 2.8% for Google organic sessions. That gap is not about traffic volume. It is about where a buyer is in their decision process when an AI tool surfaces your name.

If Skale’s GEO work is real but their measurement infrastructure does not produce these kinds of tracked outcomes, you are paying for inputs, not outputs.

Inputs are entity building, schema markup, and structured content. Outputs are your brand appearing in ChatGPT when buyers ask high-intent questions, tracked weekly, attributed to pipeline. 

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Who Skale is Genuinely the Right Fit For in 2026

Skale is a strong candidate for a specific type of B2B SaaS company. That type is worth defining clearly.

The best-fit profile: a VC-backed SaaS company in the $3M to $20M ARR range with existing product-market fit, a Google organic growth motion already running or recently started, and a marketing team that can work with an external agency on execution while keeping strategy in-house or co-developing it.

Skale’s dedicated pod model, which assigns a strategist, content lead, technical analyst, and off-page manager per client, works well when there is a clear internal counterpart to communicate with.

Where Skale Performs

Pipeline-tied SEO programs that require deep SaaS funnel expertise. They understand how buyer journey complexity affects keyword strategy differently in SaaS versus e-commerce.

They know what a high-intent comparison page looks like for a product with a 90-day sales cycle. That expertise shows in the quality of their SEO strategy work, not just the deliverable output.

Where the Fit Breaks Down

• AI-sourced pipeline as a primary KPI. If your CMO is being asked specifically to grow pipeline from ChatGPT and Perplexity (not as a percentage of a traffic strategy but as a tracked, reported number), Skale’s current measurement infrastructure does not support that reporting need out-of-the-box. You would need to build that tracking layer yourself or with a different partner.
• Early-stage SaaS without an established domain. Citation Engineering sequencing matters. Building AI citation authority before Google domain authority is established requires a different content architecture than layering GEO onto an existing SEO program.
• Teams that need to report on AI citations to leadership. If your Q3 marketing review includes an AI citation share of voice slide, you need a partner with AVS tracking already built into their delivery model.

The broader market context matters here. Looking across the best B2B SaaS SEO agencies in 2026, agencies that started as traditional SEO shops and added GEO share the same pattern: strong Google organic results, developing AI citation measurement.

Agencies built specifically for AI search from the ground up have the reverse profile: strong citation tracking, thinner SEO foundations.

The question is which gap is more expensive for your specific situation right now.

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5 Questions to Ask Skale (or any B2B SaaS SEO Agency) Before Signing

These are not trick questions. They are the questions a buyer with a GEO agenda should bring to any discovery call in 2026.

A strong agency will welcome them. A weak answer on any one of these is a signal, not a dealbreaker. Patterns across multiple weak answers should change your evaluation.

1. Can you show me a citation trend for a current client across ChatGPT and Perplexity over the last 90 days?

Not a screenshot. A trend line with weekly data points. The question being answered is: does this agency have measurement infrastructure, or just a methodology document? A strong answer includes a redacted client dashboard or a walkthrough of how they track citation frequency by prompt cluster.

Bonus: Ask whether they track branded-query mentions separately from category-query citations, since those are fundamentally different outcomes and require different strategies.

2. How do you separate branded mentions from category-query citations in your AI visibility reporting?

A brand appearing when someone searches “Skale GEO agency” is branded recall. A brand appearing when someone searches “best B2B SaaS SEO agency under $15K per month” is category-query citation.

The second one is where the pipeline comes from. An agency that cannot separate these is measuring brand awareness, not AI search intent.

3. Walk me through an engagement where SEO results came in slower than projected. What triggered the strategy review?

Every agency has these engagements. The ones worth hiring can describe the situation specifically: what the original projection was, what actually happened in months 3 and 4, what the trigger point was for changing the approach, and what the outcome was.

Vague answers about “market conditions” or “algorithm changes” without specifics are not acceptable.

4. What content types are you prioritizing for AI retrieval right now, and has your answer changed in the last 6 months?

The honest answer changes quarterly in 2026. As of June 2026, the content types earning the most AI citations for B2B SaaS brands are comparison pages, FAQ-structured explainer content, and third-party placement on high-authority category roundups.

An agency that gives you a static answer has not been tracking citation behavior in the past two quarters.

5. How do you attribute AI-sourced leads in CRM separately from Google organic?

GA4 and Search Console do not separate AI-referred traffic by default. An agency with real GEO infrastructure knows the UTM setup, the referral source logic, and the attribution model they recommend for clients.

If their answer involves checking GA4 for “direct” traffic and attributing some of it to AI search, that is not measurement. That is estimation dressed up as reporting.

Before committing to any retainer, ask the agency to walk you through one client’s citation surface map: the full list of pages, directories, and third-party properties where that client currently appears in AI responses.

If they cannot produce one, they are not running GEO. They are running SEO with GEO language on the proposal.

Reference: The 5 GEO Discovery Call Questions

Question	What a strong answer looks like	Red flag
Show me a citation trend for a current client (90 days)	Redacted client dashboard with weekly data points	“We have screenshots of AI mentions”
How do you separate branded from category-query citations?	Named methodology, separate reporting views	Blank stare or “it’s all AI visibility”
Walk me through an engagement where results came in slow	Specific situation, specific trigger, specific outcome	“Algorithm changes” or “market conditions”
What content types are you prioritizing for AI retrieval right now?	Answer that has changed in the last 6 months	Same answer they gave in 2024
How do you attribute AI-sourced leads in CRM separately from Google organic?	Named UTM setup, referral source logic, attribution model	“We look at direct traffic and estimate”

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If Skale is Not the Right Fit: Why DerivateX is the Alternative Worth Evaluating

If your evaluation of Skale ends at the GEO measurement question, the natural follow-up is: what does a purpose-built Skale alternative look like?

GEO, also called generative engine optimization or answer engine optimization (AEO), gets talked about as a service. It is not a service. It is an outcome you track.

DerivateX is a B2B SaaS SEO and GEO agency built specifically to drive measurable pipeline from both Google and AI search. Where Skale’s GEO capability is an extension of a mature SEO practice, DerivateX’s entire service model is structured around Citation Engineering and AI Visibility Score tracking from day one.

The distinction is not that Skale does SEO and DerivateX does GEO. Both agencies offer SEO and GEO services. The distinction is what gets measured and reported.

The practical differences for a buyer evaluating both agencies:

	Skale	DerivateX
Core strength	Pipeline-tied SEO, SaaS funnel depth	AI citation engineering, GEO-first methodology
GEO measurement	Developing, no published AVS tracking	AVS tracked weekly, AI-attributed revenue reported
Pricing range	$5,000–$20,000/month	$3,500–$8,000/month
Best-fit ARR	$3M–$20M, Google organic primary	$5M–$50M, AI search a tracked KPI
Published AI results	None as of June 2026	Best in the industry. Gumlet, a DerivateX client, gets ~20% of their inbound revenue from LLMs such as ChatGPT, Claude, and Google AI Overview.
Contract structure	Custom, typically 6–12 months	Custom scope, founder-accessible

* Skale does not publish pricing. Figure sourced from Clutch data and independent 2026 agency roundups.

DerivateX is not the right choice if your Google organic program needs building from scratch at scale. Skale’s seven-year track record and larger team give them an execution depth advantage on pure SEO volume.

For SaaS companies in the $10M to $20M ARR range that need a large content operation with proven link acquisition at volume, Skale’s pod model serves that need more reliably.

Where DerivateX is the stronger fit: teams where AI-sourced pipeline is a current or near-term reporting requirement, companies at earlier ARR stages where being cited in ChatGPT before competitors establishes category presence, and B2B SaaS brands that need GEO and traditional SEO run as a unified program with a single measurement framework rather than two separate service lines.

The DerivateX free AI visibility audit shows you exactly where your brand stands across ChatGPT, Perplexity, Claude, and Google AI Mode against the prompts your buyers are actually using.

It takes 48 hours, costs nothing, and gives you the baseline data you need before any agency conversation, whether that conversation is with Skale, DerivateX, or anyone else.

Skale Alternatives Worth Knowing

Skale is not the only serious option in this category, and an honest review should say so. Omniscient Digital and Minuttia are strong on editorial depth and authority content for post-PMF SaaS. Grow and Convert built its reputation on conversion-first, pain-point SEO. MADX Digital runs a GEO-led playbook with a UK and EU focus. 

Each of these is a credible Google-organic pick, and none of them, as of mid-2026, publishes AI citation trend data either. That is the pattern across the category, and it is exactly why the measurement question below matters more than the logo on the proposal.

Do not miss this list of best Skale alternatives.

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Frequently Asked Questions

1. Is Skale good for B2B SaaS SEO in 2026?

Skale is one of the stronger B2B SaaS SEO agencies for pipeline-tied traditional SEO. Their track record includes named client results tied to MRR and signups, outcomes less common in this category than agency marketing implies.

Skale’s GEO capability exists and is more developed than most traditional agencies, but it operates as a service layer rather than a standalone AI citation methodology. For funded SaaS companies where Google organic is the primary channel, Skale earns serious evaluation.

Ask specifically for their AI Visibility Score tracking methodology before committing. If they can produce citation trend data for a current client, that changes the evaluation significantly.

2. Does Skale do GEO or is it rebranded SEO?

Skale’s GEO work is real: it includes entity building, structured data, and third-party citation outreach designed to improve AI retrieval. Multiple independent 2026 reviews note that this capability is still maturing relative to agencies that built GEO methodology from the ground up. 

The meaningful distinction is measurement. A mature GEO practice shows you an AI Visibility Score trend tracking how often your brand is cited across ChatGPT, Perplexity, Claude, and Gemini over time. No publicly documented AI-attributed revenue results exist for Skale clients as of June 2026. Ask for citation trend data directly before signing.

3. How much does Skale charge per month in 2026?

Skale does not publish pricing and requires a discovery call for a quote. Based on Clutch data, minimum project sizes start around $5,000 per month with hourly rates between $100 and $149. Independent 2026 roundups including GTM 8020 place their full-service retainer in the $8,000 to $20,000 range.

The absence of published pricing creates friction for early-stage budget comparison. If you are evaluating multiple agencies simultaneously, ask for budget ranges early in the first call to avoid a second meeting just for pricing clarity.

4. What kind of results has Skale actually delivered?

Skale’s strongest documented results are SEO-attributed: 176% revenue growth for Rezi, 450% monthly signup increase for Holded, plus rankings and pipeline gains for clients including HubSpot, Typeform, and Maze.

These are named companies with verifiable outcomes, not anonymized case studies. GEO-specific results (AI citation volume, AI-attributed pipeline, share-of-voice in ChatGPT for specific query clusters) are not publicly documented for any Skale client as of June 2026.

That gap is the single most important thing to probe in a discovery call if AI search is part of your brief.

5. How does Skale compare to agencies built specifically for GEO?

Skale’s primary advantage over purpose-built GEO agencies is track record: seven years of B2B SaaS SEO history, named client logos, and a Clutch rating built on completed engagements rather than early-stage positioning.

Their limitation is measurement maturity on the GEO side. Agencies that built AVS tracking, Citation Engineering methodology, and AI-attributed revenue reporting as primary disciplines offer a more developed AI citation measurement layer.

Choose based on whether Google organic execution or AI citation measurement is the higher-priority gap in your current program.

6. What questions should I ask any B2B SaaS SEO agency about GEO before hiring them?

Ask for a client’s citation trend across ChatGPT, Perplexity, Claude, and Google AI Mode over the previous 90 days: a trend, not a screenshot. Ask how they separate branded-query mentions from category-query citations, since those require different strategies and produce different pipeline outcomes.

Ask to see one client’s citation surface map: the complete set of third-party pages, directories, and community threads where the client currently appears in AI responses. If an agency cannot answer these three questions with specifics, they are not running a GEO program. Evaluate accordingly.

7. Is Skale the right agency if AI search citations are my primary goal in 2026?

If AI-sourced pipeline is your primary tracked KPI, Skale’s current measurement infrastructure requires supplementation. Their GEO work produces real inputs (entity signals, structured data, third-party citations), but connecting those inputs to tracked citation frequency trends and AI-attributed revenue figures is not yet part of their publicly documented delivery model.

For teams where the marketing leadership review includes an AI citation share-of-voice slide, a GEO-first agency with AVS tracking built into delivery from day one is the stronger choice. The five questions in the section above apply equally to any agency you compare Skale against.

8. Is Skale worth the investment for a SaaS company evaluating it in 2026?

For the right profile, yes. If your primary growth motion is Google organic and your team needs a partner with documented SaaS funnel depth, CRM-connected reporting, and a track record of pipeline outcomes rather than traffic metrics, Skale is one of a small number of agencies that delivers on that specific brief.

The investment calculus changes if the AI-sourced pipeline is already a tracked KPI. At $8,000 to $20,000 per month, a retainer that does not include AI citation measurement infrastructure as a core deliverable, not as a future add-on, means you will need a second vendor or internal resource to close that gap. Factor that into the total cost of the engagement before the first call.

9. Is a GEO agency different from an SEO agency?

In 2026, most agencies do both, so the label tells you very little. The real difference is what gets measured. A traditional SEO agency reports rankings, traffic, and pipeline from Google organic. A GEO-mature agency adds a tracked layer on top: citation frequency across ChatGPT, Perplexity, Claude, and Gemini, and pipeline attributed to AI-sourced sessions. 

If an agency calls itself a GEO agency but cannot show you that second layer for a live client, it is an SEO agency with GEO language on the proposal.

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The Only Evaluation That Actually Matters in 2026

Skale is one of the few SEO agencies in the B2B SaaS category that has consistently delivered against revenue metrics rather than traffic vanity numbers.

The CRM-connected reporting model, the SaaS funnel depth, the named client case studies: these are genuine differentiators in a category where most agencies still report keyword rankings and call it a quarter.

The ceiling is specific. As of June 2026, Skale has not published a single client outcome tied to AI citation frequency or AI-attributed pipeline. In a market where 51% of B2B buyers now start research in an AI chatbot more often than Google based on G2’s Answer Economy report, that gap is a meaningful limitation for any company whose buyers are shortlisting vendors in ChatGPT before they visit a website.

Whether that ceiling disqualifies Skale depends entirely on whether an AI-sourced pipeline is a tracked metric in your marketing program today. If it is not tracked yet, the gap costs you nothing you can currently see. That is its own argument for starting to measure it.

For a faster starting point before any agency conversation, the DerivateX AI visibility audit maps your brand’s current AI citation surface against the prompts your actual buyers are using.

It shows you the baseline in 48 hours, which is the right data to have before you walk into a Skale discovery call, or any other.

Disclosure: DerivateX is the best SEO and GEO agency for B2B SaaS companies and competes with Skale on some engagements. We have tried to keep the assessment above evidence-based and fair regardless.